Design, build and ship AI-native applications and experiences for real-world use cases.
Build applications using large language models, generative AI APIs and agentic architectures.
Develop high-quality software using Python, TypeScript/JavaScript or comparable modern languages.
Valtech transforms how people experience the world through technology, combining technology, creativity, and experience to solve meaningful business challenges. The company fosters a culture of continuous learning, meaningful impact, and professional growth, with a borderless global framework enabling seamless collaboration.
Architect and implement production-ready generative AI and LLM-based solutions within the product suite
Design and develop agentic systems, RAG pipelines, and evaluation workflows to automate tasks and improve reliability
Collaborate with product, design, and engineering teams to turn complex AI concepts into user-facing features
JUPUS is a fast-growing legal tech company in Europe, building the JUPUS platform to improve productivity for law firms. The culture is flat, fully remote, and fast-moving, with direct access to engineering leadership and a focus on practical AI systems.
Serve as a primary technical consultant, leading end-to-end AI/ML project implementations with clients.
Design, build, and maintain production-grade AI/ML pipelines, emphasizing CI/CD and advanced MLOps/AIOps practices.
Architect end-to-end AI/ML systems and manage infrastructure using Docker, orchestrators, and Databricks lakehouse.
Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies. We build modern Machine Learning systems for demand planning, budget forecasting, and custom AI solutions, fostering a data-nerd culture with values like ownership and a positive mindset.
Build, configure and deploy AI agents for enterprise customers.
Integrate with customer APIs, databases and CRMs.
Tune and troubleshoot agents on live traffic.
A late-stage, venture-backed enterprise AI company deploying AI agents inside large customers' systems. They value ownership, with engineers handling integration to launch with no handoff.
Build AI-powered agents and tools end-to-end: identify problems with clients, prototype quickly, evaluate rigorously, and ship to production.
Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows.
Work directly with clients to understand workflows, validate AI behavior, and iterate toward production quality.
Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. With over 1,500 firms in 60 countries and nearly $10 trillion in assets on the platform, Addepar fosters a culture of ownership, collaboration, and continuous learning.
Refactor and productionise existing ML models, including NLP and generative AI solutions.
Build and maintain reliable ML pipelines with model evaluation, deployment, and observability.
Apply Applied AI techniques like RAG and integrate third-party AI APIs for production systems.
Smart Working is a remote-first talent company that connects skilled professionals with global teams and products. It is one of the highest-rated workplaces on Glassdoor, with a culture focused on growth, well-being, and belonging.
Build AI applications, agents, skills, connectors, and workflow automations that solve business problems.
Translate ambiguous business needs into AI-native workflows and own engineering from discovery to production launch.
Work closely with internal teams to embed AI solutions and drive measurable gains in quality, speed, and cost.
Reddit is a community of communities built on shared interests, passion, and trust. With 100,000+ active communities and about 130 million daily active visitors, it is one of the internet's largest sources of information.
Design, build, and operate production AI agents for developer productivity, from code review to incident response.
Build self-service platform infrastructure enabling teams to prototype, deploy, and scale their own AI developer tools.
Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable, loved developer tools.
Docker is a developer tooling company trusted by over 20 million monthly users for building, sharing, and running applications. We are a globally distributed, remote-first team building AI-powered tools that shape how software gets built and delivered.
Build production-ready LLM applications across backend, data, and front-end.
Partner with customers in the field to deploy and iterate AI solutions.
Codify reusable patterns and influence the platform roadmap.
ServiceNow provides an AI control tower for business reinvention, bringing together AI, data, and workflows. The company powers 85% of the Fortune 500 and fosters an AI-native culture where technology and talent work together.
Develop cutting-edge GenAI solutions incorporating the latest Databricks AI research to solve customer problems.
Own production rollouts of consumer and internally facing GenAI applications.
Serve as a trusted technical advisor to customers across a variety of domains.
Databricks is the Data and AI company, offering a unified platform for data engineering, analytics, and AI. With more than 20,000 customers including 70% of the Fortune 500, Databricks has 30+ offices globally and fosters an inclusive, collaborative culture.
Architect and build production-grade agentic systems for platform automation and internal engineering workflows.
Design a shared AI platform with LLM gateway, observability, and evaluation for reliable AI capabilities.
Set technical direction, mentor engineers, and drive an AI-first culture across the Platform Services team.
HighLevel is an AI-powered business operating system that helps agencies, entrepreneurs, and SMBs automate and scale. With over 2,000 team members across 10+ countries, it operates as a global, remote-first organization built for speed and ownership.
Build and improve AI agents by writing production code for Voice Agent and Autopilot platforms.
Own enterprise AI deployments from initial discovery through go-live, working directly with customers.
Design and implement AI workflows, debug agents in production, and turn customer needs into reusable product features.
Supermove builds software and AI for moving companies, providing systems for sales, operations, crews, and billing. The company has raised $30M from investors like Andreessen Horowitz and serves moving businesses across the US, Canada, and Australia.
Design and develop specialized AI agents using Generative AI, LLMs, and agentic frameworks like LangChain and Semantic Kernel.
Build MCP servers and integrate AI applications with event-driven architectures, ensuring secure and traceable decisions.
Implement Human-in-the-Loop workflows and apply PromptOps practices for scalable, secure, and high-impact AI solutions.
The hiring company is a technology organization in Brazil focused on building AI-powered applications and agentic systems. It fosters a collaborative and international culture, with fully remote work and opportunities to work on innovative AI technologies.
Own end-to-end development of AI observability features, from ingestion to visualization.
Architect data models and infrastructure for observing AI agents across Honeycomb.
Partner with product and design to build intuitive workflows and share best practices.
Honeycomb is an observability platform that helps developers debug complex distributed systems, serving customers like HelloFresh and Slack. The company has surpassed 200 employees, closed Series D funding, and fosters a distributed-first, inclusive, and high-trust culture.
Build and maintain scalable backend services, distributed systems, and APIs for the AgentControl product.
Collaborate with product managers, designers, and engineers to improve GenAI workflows and drive architecture decisions.
Take ownership of production code, participate in on-call rotations, and optimize performance, reliability, and scalability.
LaunchDarkly is a feature management platform that helps developers deliver and control software features safely. The company values humility, collaboration, and diversity, and is committed to building a high-trust, transparent team.
Partner directly with clients to turn ambiguous business challenges into clear technical plans and prototypes.
Build and deploy AI-enabled applications, agentic workflows, APIs, data pipelines, and full-stack products.
Engineer reliable agent harnesses, evaluation frameworks, and safeguards to ensure production-ready AI systems.
TribalScale is a digital innovation firm that partners with clients to build transformative digital products, modernize technology platforms, and apply AI to meaningful business challenges. The team values curiosity, ownership, practical innovation, and lives by principles of meritocracy, empowerment, and transparency.
Design, develop, and deploy AI-powered tools, agents, and automation that streamline workflows across the organization.
Connect LLMs and AI applications with internal systems, APIs, and enterprise tools to enable intelligent operations.
Own the infrastructure, security, monitoring, and reliability needed to scale AI solutions in production.
Phantom is building a self-custody crypto wallet and trading app that provides access to global markets, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. The company is around 180 people, fully remote, and backed by a $150M Series C from a16z, Sequoia Capital and Paradigm.
Design, prototype, and build production-ready agentic workflows and LLM orchestration systems.
Move AI prototypes into scalable, low-latency microservices on Azure, ensuring production-grade integration.
Act as technical mentor for agent-focused engineering squads, driving AI quality and operational frameworks.
Shift Technology delivers AI agents that transform insurers' most critical work. With employees from over 50 countries, the company's culture is built on innovation, trust, and a drive to transform the insurance industry.
Develop and enhance AI-powered features across existing products using LLMs and modern AI frameworks.
Integrate conversational AI, voice AI, and RAG pipelines into production applications.
Collaborate with product teams and AI scientists to improve AI quality and ensure scalability and performance.
Pleased provides customer service software (SaaS) to clients worldwide. The company has a remote development team in Europe with around 30 employees and is expanding, with a fast-moving startup culture that values ownership and collaboration.
Build tools for understanding traces, evaluating agent behavior, and turning results into improvements.
Run experiments on Mastra's primitives to find where they fall short and improve configuration and behavior.
Help turn findings into capabilities developers can use in their own applications.
Mastra is the open-source TypeScript framework for building AI agents. We're a small, fully remote team backed by Y Combinator and Spark Capital with $35M raised.